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An integrated catchment-coastal modelling system for real-time water quality forecasts

  • Zeinab Bedri
  • , Aisling Corkery
  • , John J. O'Sullivan
  • , Marcos X. Alvarez
  • , Anders Chr Erichsen
  • , Louise A. Deering
  • , Katalin Demeter
  • , Gregory M.P. O'Hare
  • , Wim G. Meijer
  • , Bartholomew Masterson

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a new marine water quality forecasting system for real-time and short-term predictions. The forecasting system comprises an integrated catchment-coastal model and a database management system. The integrated model is validated in an Irish catchment-coastal system using hydrodynamic and water quality data. The forecasting system was then used to provide short-term and real-time forecasts of Escherichia coli (. E.coli) and Intestinal Enterococci concentrations (IE) in the near-shore coastal waters of Bray, Ireland. Two hind-cast scenarios were simulated: 5F in which predictions were based on rainfall forecasts only; and I-5F where forecasts of 5F were improved by incorporating real-time data. Results indicate that predictions of E.coli of scenario I-5F are improved. Also predicted IE concentrations by Scenario 5F were comparably higher than the I-5F predications, but due to the wide scatter of observed IE concentrations, the superiority of one scenario over the second could not be definitively determined.

Original languageEnglish
Pages (from-to)458-476
Number of pages19
JournalEnvironmental Modelling and Software
Volume61
DOIs
Publication statusPublished - 1 Nov 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Catchment modelling
  • Integrated model
  • MIKE
  • Marine water quality
  • Real-time forecasts
  • Three-dimensional hydrodynamics

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